Interesting packages of new BioC2.7

November 1, 2010

(This article was first published on One Tip Per Day, and kindly contributed to R-bloggers)


Nucleosome positioning prediction


Differential expression and false discovery rate calculation through multiple comparison


Ontology parsing


Bayesian Hierarchical Clustering


Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models


btw, other interesting ones in BioC 2.6:

New sequence analysis tools address infrastructure (GenomicRanges, Rsamtools, girafe); ChIP-seq (BayesPeak, CSAR, PICS); digital gene expression and RNA-seq (DESeq, goseq, segmentSeq); and motif discovery (MotIV, rGADEM).

To leave a comment for the author, please follow the link and comment on their blog: One Tip Per Day. offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.